Xuan-May Le

13 papers A* 4Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling.
CoRR
Minh-Tuan Tran, Xuan-May Le, Quan Hung Tran, Mehrtash Harandi, Dinh Q. Phung, Trung Le
2025 A* conf
Enhancing Dataset Distillation via Non-Critical Region Refinement.
CVPR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Q. Phung
2025 J jnl
Enhancing Dataset Distillation via Non-Critical Region Refinement.
CoRR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Phung
2025 — conf
SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony Detection.
PAKDD (2)
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran, David Berlowitz, Mark Howard
2025 J jnl
SHIP: A Shapelet-based Approach for Interpretable Patient-Ventilator Asynchrony Detection.
CoRR
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran, David Berlowitz, Mark Howard
2024 J jnl
Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation.
CoRR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Jianfei Cai, Mehrtash Harandi, Dinh Q. Phung
2024 A* conf
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation.
CVPR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung
2024 A* conf
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification.
KDD
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran
2024 J jnl
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification.
CoRR
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran
2024 A* conf
Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning.
CVPR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung
2024 J jnl
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning.
CoRR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung
2023 J jnl
Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation.
CoRR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung
2022 — conf
Learning Perceptual Position-Aware Shapelets for Time Series Classification.
ECML/PKDD (6)
Xuan-May Le, Minh-Tuan Tran, Van-Nam Huynh